Lab Members

Sriraam Natarajan Sriraam Natarajan
Yuqiao Chen Yuqiao Chen
Justin G. Dula Justin G. Dula
Alexander L. Hayes Alexander L. Hayes
Bhagirath Athresh Bhagirath Athresh
Harsha Kokel Harsha Kokel
Brian Ricks Brian Ricks
Michael Skinner, MD Michael Skinner, MD
Siwen Yan Siwen Yan
Tushar Khot Tushar Khot
Phillip Odom Phillip Odom
Shuo Yang Shuo Yang
Mayukh Das Mayukh Das
Gautam Kunapuli Gautam Kunapuli
Devendra Singh Dhami Devendra Singh Dhami
Srijita Das Srijita Das
Nandini Ramanan Nandini Ramanan
Navdeep Kaur Navdeep Kaur

Faculty

Sriraam Natarajan

Professor of Computer Science.
Principal Investigator

The University of Texas at Dallas

Current Students

Yuqiao Chen

Computer Science. (Ph.D.)

The University of Texas at Dallas

Justin G. Dula

Justin G. Dula

Computer Science. (Ph.D.)

The University of Texas at Dallas

Alexander L. Hayes

Health Informatics (Ph.D.)

Indiana University Bloomington

Bhagirath Athresh

Bhagirath Athresh

Computer Science. (Ph.D.)

The University of Texas at Dallas

Harsha Kokel

Computer Science. (Ph.D.)

The University of Texas at Dallas

Brian Ricks

Computer Science. (Ph.D.)

The University of Texas at Dallas

Michael Skinner, MD

Michael Skinner, MD

Computer Science. (Ph.D.)

The University of Texas at Dallas

Siwen Yan

Computer Science. (Ph.D.)

The University of Texas at Dallas

Alumni

Nandini Ramanan

Ph.D. Computer Science 2020 (UTD).
Thesis: 'Effective and Efficient Structure Learning of Graphical Models'

The University of Texas at Dallas

Srijita Das

Ph.D. Computer Science 2020 (UTD).
Thesis: 'Sample Efficient Cost-Aware Active Learning'

The University of Texas at Dallas

Devendra Singh Dhami

Ph.D. Computer Science 2020 (UTD).
Thesis: "Learning effective machine learning methods for health care"

The University of Texas at Dallas

Gautam Kunapuli

R&D Manager

Verisk Analytics, Inc.

Mayukh Das

Ph.D. Computer Science 2019 (UTD).
Thesis: "Human-Allied Efficient And Effective Learning in Noisy Domains"

AI/ML Research Scientist at Samsung R&D Institute

Shuo Yang

Ph.D. Health Informatics 2017 (IU).
Thesis: "Effective Learning of Probabilistic Models for Clinical Predictions from Longitudinal Data"

LinkedIn

Phillip Odom

Ph.D. Computer Science 2017 (IU).
Thesis: "Active Advice-Seeking for Reinforcement Learning"

Research Scientist at Georgia Tech

Tushar Khot

Ph.D. Computer Science 2014 (WISC).
Thesis: "Efficient Learning of Statistical Relational Models

Research Scientist at Allen Institute for AI

Obuli Vignesh Rangasamy

Computer Science (M.S.)

Yuxin Zi

Computer Science. (MSc.)

Arjun Manoharan

Computer Science (M.S.)

Indian Institute of Technology Madras (IIT-Madras)

Kaushik Roy

Computer Science (M.S.)

PhD student at The University of South Carolina

Vignesh Suresh Babu Kishore

Data Science (M.S.)

Dileep Viswanathan

Computer Science (M.S.)

Amazon

Rahul Pasanuri

Computer Science (M.S.)
Thesis: "Learning with Privileged Information: Decision-Trees and Boosting"

Amazon

Anurag Wazalwar

Computer Science (M.S.)

AOL

Niranjan Pachaiappan

Computer Science (M.S.)

Denim Group Inc

Shreya Maruthi

Computer Science (M.S.)

Amazon

Vignesh Vijayaraghavan

Computer Science (M.S.)

BehaviorMatrix

Aniket Gaikwad

Computer Science (M.S.)

AppZen

Vishal Bangera

Computer Science (M.S.)

Ernst & Young

Shrutika Poyrekar

Computer Science (M.S.)

DataCulture

Jose Picado

Computer Science (M.S.)
Thesis: "Efficient Information Extraction Using Statistical Relational Learning"

Oregon State University

Baidya Nath Saha

Post-doc

Assistant Professor at CIMAT, Monterrey, Nuevo león, México

Adam Edwards

Ph.D. Student at the University of Illinois at Urbana-Champaign

Rick Freedman

Ph.D. Student at the University of Massachusetts Amherst